Literature DB >> 10789430

A multiscale spatial filtering account of the White effect, simultaneous brightness contrast and grating induction.

B Blakeslee1, M E McCourt.   

Abstract

Blakeslee and McCourt ((1997) Vision Research, 37, 2849-2869) demonstrated that a multiscale array of two-dimensional difference-of-Gaussian (DOG) filters provided a simple but powerful model for explaining a number of seemingly complex features of grating induction (GI), while simultaneously encompassing salient features of brightness induction in simultaneous brightness contrast (SBC), brightness assimilation and Hermann Grid stimuli. The DOG model (and isotropic contrast models in general) cannot, however, account for another important group of brightness effects which includes the White effect (White (1979) Perception, 8, 413-416) and the demonstrations of Todorovic ((1997) Perception, 26, 379-395). This paper introduces an oriented DOG (ODOG) model which differs from the DOG model in that the filters are anisotropic and their outputs are pooled nonlinearly. The ODOG model qualitatively predicts the appearance of the test patches in the White effect, the Todorovic demonstration, GI and SBC, while quantitatively predicting the relative magnitudes of these brightness effects as measured psychophysically using brightness matching. The model also accounts for both the smooth transition in test patch brightness seen in the White effect (White & White (1985) Vision Research, 25, 1331-1335) when the relative phase of the test patch is varied relative to the inducing grating, and for the spatial variation of brightness across the test patch as measured using point-by-point brightness matching. Finally, the model predicts intensive aspects of brightness induction measured in a series of Todorovic stimuli as the arms of the test crosses are lengthened (Pessoa, Baratoff, Neumann & Todorokov (1998) Investigative Ophthalmology and Visual Science, Supplement, 39, S159), but fails in one condition. Although it is concluded that higher-level perceptual grouping factors may play a role in determining brightness in this instance, in general the psychophysical results and ODOG modeling argue strongly that the induced brightness phenomena of SBC, GI, the White effect and the Todorovic demonstration, primarily reflect early-stage cortical filtering operations in the visual system.

Entities:  

Mesh:

Year:  1999        PMID: 10789430     DOI: 10.1016/s0042-6989(99)00119-4

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  41 in total

1.  Natural image statistics mediate brightness 'filling in'.

Authors:  Steven C Dakin; Peter J Bex
Journal:  Proc Biol Sci       Date:  2003-11-22       Impact factor: 5.349

2.  The statistical structure of natural light patterns determines perceived light intensity.

Authors:  Zhiyong Yang; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-19       Impact factor: 11.205

3.  Noise masking of White's illusion exposes the weakness of current spatial filtering models of lightness perception.

Authors:  Torsten Betz; Robert Shapley; Felix A Wichmann; Marianne Maertens
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  Nearly instantaneous brightness induction.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  J Vis       Date:  2008-02-29       Impact factor: 2.240

5.  A Bayesian model of lightness perception that incorporates spatial variation in the illumination.

Authors:  Sarah R Allred; David H Brainard
Journal:  J Vis       Date:  2013-06-28       Impact factor: 2.240

6.  Dynamic brightness induction causes flicker adaptation, but only along the edges: evidence against the neural filling-in of brightness.

Authors:  Alan E Robinson; Virginia R de Sa
Journal:  J Vis       Date:  2013-05-31       Impact factor: 2.240

Review 7.  Lateral effects in pattern vision.

Authors:  John M Foley
Journal:  J Vis       Date:  2019-08-01       Impact factor: 2.240

8.  To compute lightness, illumination is not estimated, it is held constant.

Authors:  Alan L Gilchrist
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-05-03       Impact factor: 3.332

9.  The Oriented Difference of Gaussians (ODOG) model of brightness perception: Overview and executable Mathematica notebooks.

Authors:  Barbara Blakeslee; Davis Cope; Mark E McCourt
Journal:  Behav Res Methods       Date:  2016-03

10.  Mechanisms underlying simultaneous brightness contrast: Early and innate.

Authors:  Pawan Sinha; Sarah Crucilla; Tapan Gandhi; Dylan Rose; Amy Singh; Suma Ganesh; Umang Mathur; Peter Bex
Journal:  Vision Res       Date:  2020-05-25       Impact factor: 1.886

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.